BACKGROUND: Accurate and updated information on airborne pollen in specific areas can help allergic patients. Current monitoring systems are based on a morphologic identification approach, a time-consuming method that may represent a limiting factor for sampling network enhancement. OBJECTIVE: To verify the feasibility of developing a real-time polymerase chain reaction (PCR) approach, an alternative to optical analysis, as a rapid, accurate, and automated tool for the detection and quantification of airborne allergenic pollen taxa. METHODS: The traditional cetyl trimethyl ammonium bromide-based method was modified for DNA isolation from pollen. Taxon-specific DNA sequences were identified via bioinformatics or literature searches and were PCR amplified from the matching allergenic taxa; based on the sequences of PCR products, complementary or degenerate TaqMan probes were developed. The accuracy of the quantitative real-time PCR assay was tested on 3 plant species. RESULTS: The setup of a modified DNA extraction protocol allowed us to achieve good-quality pollen DNA. Taxon-specific nuclear gene fragments were identified and sequenced. Designed primer pairs and probes identified selected pollen taxa, mostly at the required classification level. Pollen was properly identified even when collected on routine aerobiological tape. Preliminary quantification assays on pollen grains were successfully performed on test species and in mixes. CONCLUSIONS: The real-time PCR approach revealed promising results in pollen identification and quantification, even when analyzing pollen mixes. Future perspectives could concern the development of multiplex real-time PCR for the simultaneous detection of different taxa in the same reaction tube and the application of high-throughput molecular methods.
BACKGROUND: Accurate and updated information on airborne pollen in specific areas can help allergicpatients. Current monitoring systems are based on a morphologic identification approach, a time-consuming method that may represent a limiting factor for sampling network enhancement. OBJECTIVE: To verify the feasibility of developing a real-time polymerase chain reaction (PCR) approach, an alternative to optical analysis, as a rapid, accurate, and automated tool for the detection and quantification of airborne allergenic pollen taxa. METHODS: The traditional cetyl trimethyl ammonium bromide-based method was modified for DNA isolation from pollen. Taxon-specific DNA sequences were identified via bioinformatics or literature searches and were PCR amplified from the matching allergenic taxa; based on the sequences of PCR products, complementary or degenerate TaqMan probes were developed. The accuracy of the quantitative real-time PCR assay was tested on 3 plant species. RESULTS: The setup of a modified DNA extraction protocol allowed us to achieve good-quality pollen DNA. Taxon-specific nuclear gene fragments were identified and sequenced. Designed primer pairs and probes identified selected pollen taxa, mostly at the required classification level. Pollen was properly identified even when collected on routine aerobiological tape. Preliminary quantification assays on pollen grains were successfully performed on test species and in mixes. CONCLUSIONS: The real-time PCR approach revealed promising results in pollen identification and quantification, even when analyzing pollen mixes. Future perspectives could concern the development of multiplex real-time PCR for the simultaneous detection of different taxa in the same reaction tube and the application of high-throughput molecular methods.
Authors: Giorgio Walter Canonica; Linda Cox; Ruby Pawankar; Carlos E Baena-Cagnani; Michael Blaiss; Sergio Bonini; Jean Bousquet; Moises Calderón; Enrico Compalati; Stephen R Durham; Roy Gerth van Wijk; Désirée Larenas-Linnemann; Harold Nelson; Giovanni Passalacqua; Oliver Pfaar; Nelson Rosário; Dermot Ryan; Lanny Rosenwasser; Peter Schmid-Grendelmeier; Gianenrico Senna; Erkka Valovirta; Hugo Van Bever; Pakit Vichyanond; Ulrich Wahn; Osman Yusuf Journal: World Allergy Organ J Date: 2014-03-28 Impact factor: 4.084
Authors: Isabell Müller-Germann; Bernhard Vogel; Heike Vogel; Andreas Pauling; Janine Fröhlich-Nowoisky; Ulrich Pöschl; Viviane R Després Journal: PLoS One Date: 2015-10-22 Impact factor: 3.240
Authors: Rodney T Richardson; Chia-Hua Lin; Juan O Quijia; Natalia S Riusech; Karen Goodell; Reed M Johnson Journal: Appl Plant Sci Date: 2015-10-30 Impact factor: 1.936